Contents -- 1. An Introduction to Monte Carlo Methods -- 1.1. Electron Beam Interaction-The Problem -- 1.2. The Monte Carlo Method -- 1.3. Brief History of Monte Carlo Modeling -- 1.4. About This Book -- 2. Constructing a Simulation -- 2.1. Introduction -- 2.2. Describing the Problem -- 2.3. Programming the Simulation -- 2.4. Reading a PASCAL Program -- 2.5. Running the Simulation -- 3. The Single Scattering Model -- 3.1. Introduction -- 3.2. Assumptions of the Single Scattering Model -- 3.3. The Single Scattering Model -- 3.4. The Single Scattering Monte Carlo Code -- 3.5. Notes on the Procedures and Functions Used in the Program -- 3.6. Running the Program -- 4. The Plural Scattering Model -- 4.1. Introduction -- 4.2. Assumptions of the Plural Scattering Model -- 4.3. The Plural Scattering Monte Carlo Code -- 4.4. Notes on the Procedures and Functions Used in the Program -- 4.5. Running the Program -- 5. The Practical Application of Monte Carlo Models -- 5.1. General Considerations -- 5.2. Which Type of Monte Carlo Model Should Be Used? -- 5.3. Customizing the Generic Programs -- 5.4. The "All Purpose" Program -- 5.5. The Applicability of Monte Carlo Techniques -- 6. Backscattered Electrons -- 6.1. Backscattered Electrons -- 6.2. Testing the Monte Carlo Models of Backscattering -- 6.3. Predictions of the Monte Carlo Models -- 6.4. Modeling Inhomogeneous Materials -- 6.5. Notes on the Program -- 6.6. Incorporating Detector Geometry and Efficiency -- 7. Charge Collection Microscopy and Cathodoluminescence -- 7.1. Introduction -- 7.2. The Principles of EBIC and C/L Image Formation -- 7.3. Monte Carlo Modeling of Charge Collection Microscopy -- 8. Secondary Electrons and Imaging -- 8.1. Introduction -- 8.2. First Principles-SE Models -- 8.3. The Fast Secondary Model -- 8.4. The Parametric Model -- 9. X-ray Production and Microanalysis.

9.1. Introduction -- 9.2. The Generation of Characteristic X-rays -- 9.3. The Generation of Continuum X-rays -- 9.4. X-ray Production in Thin Films -- 9.5. X-ray Production in Bulk Samples -- 10. What Next in Monte Carlo Simulations? -- 10.1. Improving the Monte Carlo Model -- 10.2. Faster Monte Carlo Modeling -- 10.3. Alternatives to Sequential Monte Carlo Modeling -- 10.4. Conclusions -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X.